Lucas Lo Vercio
- Health Informatics top 10%
- Geometry and Topology top 10%
- Morphological variations and asymmetry 2
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- Ultrasound Imaging and Elastography 2
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- Cell Image Analysis Techniques 4
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- Medical Image Segmentation Techniques 3
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- Cerebrovascular and Carotid Artery Diseases 4
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- Cardiovascular Health and Disease Prevention 4
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- Coronary Interventions and Diagnostics 2
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- AI in cancer detection 2
- Co-authors
- Ignacio LarrabideMariana del FresnoNils D. ForkertBenedikt HallgrímssonJosé Ignacio OrlandoDeepthi RajashekarRalph MarcucioJordan J. Bannister
- Partner nations
- ArgentinaCanadaUnited States
In The Last Decade
Lucas Lo Vercio
13 papers receiving 265 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 13
- Geometry and Topology 39
- Radiology, Nuclear Medicine and Imaging 63
- Biophysics 14
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Lucas Lo Vercio
This map shows the geographic impact of Lucas Lo Vercio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lucas Lo Vercio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Lo Vercio more than expected).
Fields of papers citing papers by Lucas Lo Vercio
This network shows the impact of papers produced by Lucas Lo Vercio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lucas Lo Vercio. The network helps show where Lucas Lo Vercio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lucas Lo Vercio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 24 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 34 | |
| 6 | 2020 | 103 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 1 | |
| 12 | 2016 | 26 | |
| 13 | 2015 | 3 | |
| 14 | Reducing Artifacts Impact on IVUS Automatic Segmentation Via Inpainting | 2014 | 1 |
About Lucas Lo Vercio
Lucas Lo Vercio is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Geometry and Topology, having authored 14 papers that have together received 270 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (4 papers), Cell Image Analysis Techniques (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Medical Image Segmentation Techniques (3 papers), Morphological variations and asymmetry (2 papers), Coronary Interventions and Diagnostics (2 papers), AI in cancer detection (2 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Health Informatics (13 citations), Geometry and Topology (39 citations) and Radiology, Nuclear Medicine and Imaging (63 citations). Lucas Lo Vercio has collaborated with scholars based in Argentina, Canada and United States. Frequent co-authors include Ignacio Larrabide, Mariana del Fresno, Nils D. Forkert, Benedikt Hallgrímsson, José Ignacio Orlando, Deepthi Rajashekar, Ralph Marcucio, Jordan J. Bannister, M. Ethan MacDonald and Anup Tuladhar. Their work appears in journals such as Development, IEEE Access and Ultrasound in Medicine & Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.